Designing Committees of Models Through Deliberate Weighting of Data Points
Abstract
In the adaptive derivation of mathematical models from data, each data point should contribute with a weight reflecting the amount of confidence one has in it. When no additional information for data confidence is available, all the data points should be considered equal, and are also generally given the same weight. In the formation of committees of models, however, this is often not the case and the data points may exercise unequal, even random, influence over the committee formation.
Cite
Text
Christensen et al. "Designing Committees of Models Through Deliberate Weighting of Data Points." Journal of Machine Learning Research, 2003.Markdown
[Christensen et al. "Designing Committees of Models Through Deliberate Weighting of Data Points." Journal of Machine Learning Research, 2003.](https://mlanthology.org/jmlr/2003/christensen2003jmlr-designing/)BibTeX
@article{christensen2003jmlr-designing,
title = {{Designing Committees of Models Through Deliberate Weighting of Data Points}},
author = {Christensen, Stefan W. and Sinclair, Ian and Reed, Philippa A. S.},
journal = {Journal of Machine Learning Research},
year = {2003},
pages = {39-66},
volume = {4},
url = {https://mlanthology.org/jmlr/2003/christensen2003jmlr-designing/}
}